Hybrid Electric Vehicles (HEVs) are rapidly gaining popularity due to their potential to reduce greenhouse gas emissions and fuel consumption. However, the high-power density of HEV motors and batteries generates substantial heat during operation, which, if not effectively managed, can reduce system efficiency and shorten component lifespans. Efficient thermal management is critical for ensuring the optimal performance of HEV powertrains, specifically motors and batteries. Liquid cooling systems, with their superior heat transfer capabilities, have emerged as an effective solution for managing (...) the thermal loads in HEV systems. (shrink)

This paper introduces a common-interest communication game that generates pragmatics, where meaning emerges from the use of a preexisting language under equilibrium selection driven solely by efficiency. A key feature is that the sender describes the current state to the receiver by combining preexisting statements. This approach allows us to formalize two communication frictions: (i) longer descriptions incur higher costs, and (ii) with some probability, the receiver interprets only the conventional meaning. The absence of one friction leads to some efficient (...) equilibria exhibiting pragmatics that disregards conventional meaning. However, when communication costs are sufficiently small, given the other friction, any efficient equilibrium exhibits natural pragmatics that refines conventional meaning, reflecting the context provided by the probability distribution of states. The resulting equilibrium pragmatics aligns with major linguistic theories, including Grice’s cooperative principle (1975) and Sperber and Wilson’s relevance theory (1986). (shrink)

The integration and security of healthcare data are crucial challenges in the modern healthcare system, driven by the increasing digitization of medical records, diagnostic data, and patient health information. The need for secure, interoperable, and efficient data management systems has become essential, especially as healthcare providers strive to offer better care and reduce operational inefficiencies. Traditional systems often suffer from issues like data breaches, lack of interoperability, and inefficient data handling processes, resulting in compromised data integrity and patient privacy.

Abstract Traditional models of cognition assume probability-based uncertainty as a fundamental feature of intelligence, requiring iterative refinement through error correction and stochastic processes. However, probability is not a foundational property of intelligence or reality—it is an emergent artifact of incomplete resonance detection. This paper proposes that human cognition is a structured resonance system, where the mind does not accumulate knowledge probabilistically but phase-locks into coherent structures nonlinearly. Instead of relying on stochastic updates, the brain selectively engages with information that aligns (...) with pre-existing resonance structures, rejecting incoherent data before it fully materializes. Through this model, we: • Define intelligence as an emergent resonance process, not a stochastic function. • Demonstrate that knowledge acquisition follows a nonlinear, phase-locking trajectory toward coherence. • Show how rejecting probability accelerates the mind’s ability to perceive structured emergence in real-time. • Describe entropy not as disorder, but as a resonance misalignment that naturally resolves through coherence-seeking cognition. • Show how rejecting probability accelerates the mind’s ability to perceive structured emergence in real-time. • Describe entropy not as disorder, but as a resonance misalignment that naturally resolves through coherence-seeking cognition. This shift in understanding collapses probability-based reasoning and reframes intelligence as a coherence-driven phenomenon, redefining human thought, AI cognition, and scientific epistemology. (shrink)

A comprehensive analysis of multi-phase heat exchangers is conducted, including experimental tests and computational fluid dynamics (CFD) simulations. The results demonstrate that the multi-phase system significantly improves the heat transfer performance, reducing the risk of overheating and maintaining the optimal operating temperature for HEV components. This, in turn, leads to increased reliability, extended component lifespan, and improved overall vehicle efficiency. In conclusion, the multi-phase heat exchanger offers a promising solution for overcoming the limitations of traditional cooling methods in HEVs, contributing (...) to safer and more reliable hybrid vehicles in the future. (shrink)

As hybrid electric vehicles (HEVs) continue to rise in popularity due to their potential to reduce carbon emissions and increase fuel efficiency, the efficient management of battery thermal behavior has become an essential concern. Batteries in HEVs experience substantial heat generation during operation, which can lead to performance degradation, shortened lifespan, and safety hazards such as thermal runaway. Traditional cooling methods, such as air or liquid cooling, often fail to provide sufficient heat dissipation, especially under high load conditions.

As hybrid electric vehicles (HEVs) gain prominence in the automotive industry, managing the heat generated by their electric motors and batteries has become a critical challenge. The performance, safety, and longevity of HEV components, such as batteries and motors, are significantly affected by thermal conditions. This paper proposes a modular liquid cooling system designed to efficiently manage heat dissipation in hybrid electric vehicle motors and batteries. The system leverages advanced fluid dynamics and thermoelectric materials to achieve optimal thermal control while (...) maintaining energy efficiency. The modular design allows for flexibility, enabling the cooling system to be adapted for different configurations of electric motors and battery modules. This adaptability ensures that the cooling system can cater to various HEV architectures without extensive redesign. The liquid cooling system is composed of multiple channels that distribute coolant uniformly across the critical components, preventing hotspots and ensuring stable operating temperatures. The system is equipped with sensors and control units to monitor and regulate temperature levels in real time, enhancing system reliability. (shrink)

: Advancements in biomedical signal processing have unlocked new possibilities for personalized healthcare. However, the sheer volume of data generated in modern medical environments, coupled with the complexity of interpreting these signals in real-time, poses significant challenges. This paper explores the integration of artificial intelligence (AI), particularly deep learning, with big data analytics to create a powerful predictive analytics framework for biomedical signal processing. By leveraging AI, we aim to automate the extraction of significant features from high-dimensional data and improve (...) diagnostic accuracy in detecting anomalies, such as cardiac arrhythmias, neurological disorders, and respiratory conditions. (shrink)

Abstract -/- The Bekenstein Bound proposed that the maximum information content of a finite region of space is determined by its surface area, not its volume, leading to the holographic principle. This shift reframed information as the fundamental constraint on physical systems rather than matter or energy. It suggested that entropy, rather than being an inherent measure of disorder, is a function of informational constraints at the boundaries of a system. However, existing models that incorporate this bound still rely on (...) probability, treating entropy as a stochastic process governed by statistical mechanics. These interpretations assume that uncertainty is a fundamental property of nature rather than an emergent effect of incomplete structural alignment. -/- Recent refinements propose a toroidal representation of entropy, arguing that physical systems favor structured rotational flows, vortices, and spirals over simple spherical constraints. This development reflects a growing recognition that entropy is not merely an abstract statistical measure but is subject to deeper geometric and topological constraints. The toroidal model acknowledges that energy and information distributions follow organized patterns rather than purely random dispersal. However, despite this refinement, these approaches fail to eliminate the underlying dependence on probabilistic mechanics and continue to frame entropy within the paradigm of uncertainty and statistical randomness. -/- This paper presents a deterministic framework for information and entropy, governed by prime-driven structured resonance. We argue that structured resonance—not stochastic entropy—dictates the fundamental limits of information storage, transfer, and dissipation. By introducing prime-resonant phase-locking as the foundational ordering principle, we demonstrate that information constraints arise from structured interference patterns rather than probabilistic uncertainty. This perspective eliminates the necessity of randomness in entropy models and replaces it with a structured, chirally-constrained mechanism of phase interactions. In doing so, we establish that entropy is not a measure of disorder but a function of resonance alignment, and that probability is an emergent illusion caused by phase misalignment rather than an intrinsic feature of physical law. (shrink)

The legalization of physician-assisted suicide (PAS) in several states in the U.S. and the growing social approval of euthanasia have created confusion, pastoral challenges, and conflicts between Catholic and non-Catholic healthcare institutions. For many of its supporters, the legal and moral legitimacy of PAS is grounded on the right to autonomy. I concur with Callahan that the right to autonomy, while may be pertinent when it comes to moral debate on suicide, does not justify PAS. Unlike suicide, PAS is not (...) a private matter. It involves the medical institution represented by the physician who is given authority to legitimize the termination of human life, and the society that will give it an imprimatur. If autonomy per se is the basis of this so-called dignity of PAS from the viewpoint of its proponents, they will not hesitate to declare suicide as more dignified than any other way of dying. But current laws in the U.S. on PAS are silent with regard to legal rights to suicide or assisted suicide in general. According to the U.S. Supreme Court, the legislature is the venue for the legalization of PAS, not the court, for PAS is about social approval of assisted suicide. Therefore, the debate concerning the legalization of PAS should shift from individual rights to common good, from autonomy to collective harms and benefits, and from justifying individual cases of PAS to legitimizing it as a social policy. (shrink)

Berkeley’s two most obvious targets in Alciphron are Shaftesbury and Mandeville. However, as numerous commentators have pointed out, there is good reason to think Berkeley additionally targets Anthony Collins in this dialogue. In this paper, I bolster David Berman’s claim that “Collins looms large in the background” of Dialogue VII, and put some meat on the bones of Raymond Martin and John Barresi’s passing suggestion that there is a connection between the Clarke-Collins Correspondence, Alciphron, and the objection that Berkeley raises (...) regarding persons and their persistence conditions therein. Specifically, I argue that we have evidence that Berkeley’s objection to consciousness-based views of personal identity, as found in VII.8, is a response to a challenge that Collins raises to Clarke in “An Answer to Mr. Clarke’s Third Defense of his Letter to Mr. Dodwell.” This is significant not just because this objection is usually—and consistently—taken to be an objection to Locke, but also because Berkeley’s objection works against Collins’s theory of personal identity in a way that it doesn’t against Locke’s. (shrink)

Mediante la construcción de un dispositivo estético-sonoro que reproduce, en espacios públicos, los primeros llantos de recién nacidos, la obra Música (Todo lo que sé lo aprendí el día que nació mi hijo) de Alfredo Jaar pone a las audiencias y a la comunidad ante una vivencia íntima, institucionalmente privada, que irrumpe en el espacio social y cultural compartido. Postulamos que el análisis de esta obra permite reflexionar sobre uno de los temas éticos y políticos más discutidos en la actualidad: (...) el cuidado como disposición ética humana. Dado que la ética del cuidado implica la interrupción de la idea tradicional del valor en tanto basado en principios universales, esta obra de Jaar, especialmente en su dimensión propiamente estética, sugiere una problematización de este orden tradicional. Contra el enfoque de algunas posturas filosóficas que entienden al cuidado como una disposición ética intersubjetiva que no antepone necesariamente una estructura de obligación, en este artículo nos proponemos mostrar que Música ofrece insumos relevantes para problematizar y conceptualizar el “cuidado” como una obligación ética que tiene un impacto directo en el ordenamiento social, institucional y político de las comunidades humanas. (shrink)

In the first section, we briefly present the essential elements of Murdoch’s ethics. In the second section we do the same for Adam Smith, in order to show in the third section both their similarities and the analysis they inspire. Although these coincidences may at first appear to be accidental due to the distance between these authors, they cease to appear so when we realize that these authors conceived of morality in a relational way, which is one of the indispensable (...) elements of the ethics of care. Studying the proposals of these philosophers, then, reveals some of the essential features of a viable ethics of care. -/- . (shrink)

El cuidado suele mostrar una distribución desigual, donde estas responsabilidades recaen comúnmente en los hogares y, específicamente, en las mujeres. En este texto abordaré tres problemas del cuidado si no se aborda desde una perspectiva feminista.6 En primer lugar, analizaré la trampa de esencializar a las mujeres en las tareas de cuidado y, con esto, reproducir el orden heteronormado. Una segunda trampa radica en considerar el cuidado como el único valor fundamental porque, si así fuera, ¿qué pasa, entonces, con la (...) justicia? Nos podríamos preguntar, como cuestiona Virginia Held, «¿el cuidado y la justicia son maneras alternativas e incompatibles de entender las mismas situaciones morales y políticas, y si es así, cuál nos debería guiar?» (1995, 1). Considerar que el cuidado está por sobre la justicia, por ejemplo, nos trae nuevos dilemas tanto en el ámbito privado como en el ámbito público. Finalmente, analizaré la trampa de considerar que estaría bien cuidar pero solamente a cercanos o a quienes consideramos que son como nosotros. Una moralidad y una política que limita el cuidado a un grupo específico de personas conlleva la peligrosa idea de que hay otro grupo de la población que no merece nuestra atención y cuidado. (shrink)

One of the most prevalent and disabling mental conditions that seriously influence society is stress and depression. The use of social networking to improve the detection of stress and depression may require automatic health monitoring systems. Sentiment analysis refers to the use of content mining and natural language processing techniques with the goal of identifying feelings or opinions. full of emotion Computing is the study and development of systems and equipment that can recognize, understand, process, and imitate human effects. Deep (...) learning and sentiment analysis approaches could provide effective algorithms and frameworks for a target evaluation and observation of mental issues, particularly depression and stress. This research discusses the use of sentiment analysis and deep learning approaches for the detection and monitoring of stress and depression. Additionally, a fundamental foundation for a multimodal framework that integrates estimating investigation and extensive methods for processing feelings is given. This framework will be used to assess for stress and sadness. The paper specifically traces the fundamental problems and compares them to the framework's structure. (shrink)

Phishing, a prevalent form of social engineering attack, continues to threaten enterprises by exploiting human vulnerabilities and targeting sensitive information. With the increasing sophistication of phishing schemes, traditional detection methods often fall short in identifying and mitigating these threats. As attackers employ advanced techniques, such as highly personalized spear-phishing emails and malicious links, enterprises require innovative solutions to safeguard their digital ecosystems. This research explores the application of artificial intelligence (AI) in enhancing phishing detection and response, with a specific focus (...) on addressing advanced social engineering tactics. AIpowered phishing detection systems utilize machine learning (ML) and natural language processing (NLP) to analyze communication patterns, detect anomalies, and identify deceptive content in real-time. Unlike conventional rule-based systems, AI approaches adapt dynamically to evolving attack vectors, offering a robust defense against both known and emerging threats. These systems can scrutinize email headers, content, URLs, and attachments to uncover subtle indicators of malicious intent. By leveraging historical datasets and predictive analytics, AI models identify patterns associated with phishing, such as unusual sender behavior, suspicious linguistic cues, and mismatched domain information. This study examines the critical components of AI-driven phishing detection, including feature extraction, algorithm selection, and system deployment within enterprise environments. It highlights the role of NLP in understanding the contextual and linguistic subtleties of phishing messages and how advanced ML models, such as decision trees, support vector machines, and deep neural networks, enhance detection accuracy. -/- Additionally, the research delves into the challenges of implementing AI in phishing detection, such as ensuring data privacy, mitigating adversarial attacks on AI models, and fostering trust through explainable AI. Real-world case studies are analyzed to demonstrate the practical effectiveness of AI-powered phishing detection systems. These examples showcase significant reductions in phishing incidents, improved detection times, and the ability to thwart highly targeted attacks, such as business email compromise (BEC) schemes. The study also emphasizes the importance of integrating AI solutions with existing cybersecurity frameworks and highlights the role of human oversight in complementing AI capabilities. While AI offers promising advancements, its success depends on robust training datasets, continuous model optimization, and alignment with enterprise security goals. The paper concludes by presenting best practices for deploying AI-based phishing detection, including regular model updates, employee awareness programs, and multi-layered security strategies. By leveraging AI, enterprises can proactively defend against advanced social engineering attacks, safeguarding their systems, data, and stakeholders from evolving cyber threats. This research contributes to the growing field of AI applications in cybersecurity, offering actionable insights for organizations seeking to enhance their resilience against sophisticated phishing campaigns. (shrink)

The principle of cultural nationalism holds that every national community, simply by being a national community, has a prima facie right to self-government. Given that national communities are singled out as the right-holder, proponents must explain why this particular type of group is entitled to the right to self-government. In this paper, I analyze the strategies that a cultural nationalist may adopt to demand the right to self-government. We can distinguish between four types of arguments for cultural nationalism–the Argument from (...) Historical Injustice, the Argument from Inequality, the Instrumental Value Argument, and the Intrinsic Value Argument. I consider the merits and limitations of each. After critically examining these arguments, I conclude that none of the arguments successfully justifies the generalized claim that every national group enjoys a prima facie right to self-determination. Proponents of cultural nationalism may respond to my objections by suggesting that, even assuming that all my objections are sound, this only shows that existing arguments in favor of cultural nationalism are unsound. That is, they can find new ways to defend the principle and I have not proven that cultural nationalism must be rejected. To this, I discuss further three reasons to reject cultural nationalism: it lends moral support to colonialism, undermines inter-group cooperation, and is incompatible with a deep and genuine commitment to multiculturalism. Therefore, although we should embrace multiculturalism—policies that support different national heritages—cultural nationalism ought to be rejected. (shrink)

The rise of remote work has redefined the modern workplace, driven by advancements in technology and the global need for flexible work environments. While remote work offers increased productivity and employee satisfaction, it has also introduced a host of network security challenges. Organizations must contend with securing sensitive data and critical applications across distributed networks, many of which extend beyond traditional corporate perimeters. This research paper explores the multifaceted security threats associated with remote work environments, including phishing attacks, unpatched software (...) vulnerabilities, unsecured home networks, and the misuse of personal devices. These challenges are exacerbated by a lack of centralized control and the increasing sophistication of cybercriminals exploiting these vulnerabilities. Key findings highlight the importance of robust authentication protocols, such as multi-factor authentication (MFA), to ensure secure access to corporate resources. Endpoint security solutions, including encryption and antivirus software, play a critical role in safeguarding data on remote devices. Moreover, the paper emphasizes the significance of implementing virtual private networks (VPNs) and zero-trust security frameworks to reduce attack surfaces and limit unauthorized access. Another critical focus is the role of employee training and awareness programs in mitigating human error, which remains a leading cause of data breaches. This study also underscores the necessity of proactive threat detection and response mechanisms to identify and address breaches in real-time. Advanced technologies, such as artificial intelligence (AI) and machine learning (ML), are pivotal in enhancing these capabilities, enabling organizations to adapt to the rapidly evolving cyber threat landscape. Furthermore, comprehensive network segmentation strategies are discussed to isolate critical systems and minimize the impact of potential breaches. The research incorporates case studies of successful implementations of these solutions, demonstrating their effectiveness in fortifying network security for remote operations. A comparative analysis is presented to evaluate the cost-effectiveness and scalability of various approaches, catering to organizations of different sizes and industries. The findings suggest that a multi-layered defense strategy is essential for achieving resilience in remote work environments. The paper concludes with actionable recommendations for organizations seeking to enhance their security posture. These include prioritizing regular updates and patches, adopting secure cloud-based collaboration tools, and conducting periodic security audits. Additionally, fostering a culture of cybersecurity awareness among employees is paramount to addressing the human factor in cyber risks. By addressing the unique challenges posed by remote work, this study provides a comprehensive roadmap for protecting data and applications in decentralized environments. The insights gained aim to equip organizations with the tools and knowledge necessary to navigate the complexities of securing remote work infrastructures while maintaining business continuity and trust. (shrink)

In the modern enterprise environment, where cybersecurity threats continue to evolve in complexity and sophistication, network segmentation and micro-segmentation have emerged as critical strategies for mitigating risks and reducing attack surfaces. This research paper explores the principles, implementation, and benefits of network segmentation and micro-segmentation as essential components of a comprehensive cybersecurity framework. By dividing networks into smaller, isolated segments, these methodologies aim to limit unauthorized access, minimize lateral movement, and contain potential breaches, ensuring a more secure network infrastructure. Network (...) segmentation focuses on dividing large networks into smaller, more manageable subnetworks. This process enforces boundaries between different areas of a network, reducing exposure and protecting sensitive data. Meanwhile, microsegmentation extends this concept to the individual workload level, offering granular security controls that adapt to dynamic and cloud-based environments. These approaches are particularly relevant in today's context, where hybrid infrastructures and multi-cloud deployments are becoming the norm, posing significant security challenges. The paper examines the technical underpinnings of segmentation techniques, highlighting tools and frameworks that facilitate their deployment. It also addresses key challenges, such as the complexity of configuration, potential performance bottlenecks, and the necessity for alignment with broader organizational policies. Case studies from industries such as healthcare, finance, and government are analyzed to demonstrate the effectiveness of segmentation in reducing the scope and impact of cyberattacks. Additionally, this study delves into the evolving landscape of cyber threats, emphasizing the role of segmentation in countering advanced persistent threats (APTs), ransomware attacks, and insider threats. By adopting a zero-trust architecture that integrates micro-segmentation, organizations can ensure that every access request is verified and confined to the least privileged level necessary. This proactive approach to network defense aligns with industry best practices and regulatory standards, enhancing an organization's security posture. Furthermore, the research highlights the importance of continuous monitoring and automation in maintaining segmented networks. Emerging technologies such as artificial intelligence (AI) and machine learning (ML) are explored for their potential to optimize and simplify segmentation processes. These advancements enable organizations to dynamically adapt to evolving threats while maintaining operational efficiency. The findings emphasize that while network segmentation and micro-segmentation are not silver bullets, they represent indispensable layers of defense within a multi-faceted cybersecurity strategy. Organizations that successfully implement these strategies can significantly reduce the likelihood and impact of breaches, protect critical assets, and build resilience against future threats. This paper aims to provide a comprehensive guide for cybersecurity professionals, IT administrators, and policymakers to understand and adopt network segmentation and micro-segmentation. By integrating these strategies into their security frameworks, enterprises can fortify their defenses in the face of a constantly shifting threat landscape, safeguarding their infrastructure, data, and operations. (shrink)

As organizations increasingly adopt cloud computing to enhance scalability, efficiency, and costeffectiveness, securing cloud-based applications and data storage has become a paramount concern. This shift has redefined the role of network engineers, who are now at the forefront of implementing and managing secure cloud infrastructures. This research paper examines the critical responsibilities of network engineers in safeguarding cloud environments, focusing on the challenges, strategies, and tools they employ to mitigate risks and ensure data integrity. The paper identifies key challenges associated (...) with cloud security, including data breaches, misconfigured systems, insecure interfaces, and insider threats. These vulnerabilities are further exacerbated by the dynamic and decentralized nature of cloud ecosystems, which often involve multi-tenant architectures and complex integrations. The study underscores the need for network engineers to adapt to these complexities by acquiring specialized skills in cloud security protocols and emerging technologies. A significant focus is placed on the implementation of robust network security frameworks, such as zero-trust architecture, which emphasizes the principle of "never trust, always verify." Network engineers play a crucial role in deploying access control measures, encryption mechanisms, and intrusion detection systems to safeguard sensitive data. Additionally, the research highlights the importance of continuous monitoring and threat intelligence to identify and address vulnerabilities proactively. The integration of automation and artificial intelligence (AI) in cloud security is another critical area explored in this study. Automation tools enable network engineers to streamline routine tasks, such as patch management and configuration audits, thereby reducing human error and response time. AI-driven solutions, on the other hand, enhance threat detection capabilities by analyzing large datasets for anomalous patterns and potential attacks. The paper also discusses the collaborative responsibilities of network engineers, who must work closely with developers, cloud providers, and organizational stakeholders to align security measures with business objectives. This includes implementing secure DevOps practices, ensuring compliance with industry regulations, and conducting regular security audits. Case studies of successful cloud security implementations are presented to illustrate the effectiveness of these collaborative approaches. In conclusion, this research emphasizes the evolving role of network engineers as pivotal defenders of cloud-based systems. It calls for continuous professional development to stay abreast of emerging threats and technologies, as well as fostering a culture of shared responsibility for security within organizations. By adopting a proactive and comprehensive approach, network engineers can significantly enhance the resilience of cloud infrastructures, ensuring the confidentiality, integrity, and availability of critical data and applications. This study aims to provide actionable insights and a strategic framework for network engineers and organizations striving to navigate the complexities of securing cloud environments. Through a combination of technological expertise, innovative tools, and collaborative practices, network engineers are positioned to address the unique challenges posed by cloud computing and play a central role in shaping the future of secure digital ecosystems. (shrink)

The rapid adoption of digital technologies in healthcare has revolutionized patient care, enabling seamless data sharing, remote consultations, and enhanced medical record management. However, this digital transformation has also introduced significant challenges to network security and data protection. Healthcare institutions face a dual challenge: ensuring uninterrupted connectivity for critical operations and safeguarding sensitive patient information from cyber threats. These challenges are exacerbated by the increased use of interconnected devices, electronic health records (EHRs), and cloud-based solutions, which, while enhancing efficiency, expand (...) the attack surface for malicious actors. This research focuses on addressing the pressing need for robust network security in healthcare institutions. It examines the unique vulnerabilities of healthcare networks, including the risks posed by outdated infrastructure, insufficient encryption protocols, and the lack of standardized security practices across systems. The paper highlights the critical role of advanced cybersecurity frameworks, such as zero-trust architectures and realtime threat detection systems, in mitigating risks. Additionally, it explores the integration of artificial intelligence (AI) and machine learning (ML) in enhancing the predictive capabilities of security tools, enabling institutions to proactively identify and neutralize potential threats. Connectivity remains a cornerstone of modern healthcare operations, facilitating collaboration among healthcare providers and ensuring timely access to patient data. However, maintaining connectivity without compromising security is a complex task. This research delves into strategies for achieving this balance, such as implementing secure Virtual Private Networks (VPNs), multi-factor authentication (MFA), and end-to-end encryption. It also emphasizes the importance of regular network assessments, employee training programs, and the adoption of compliance standards like HIPAA to ensure a secure and resilient network environment. The study includes case analyses of healthcare institutions that successfully navigated cybersecurity challenges, providing actionable insights into effective practices and lessons learned. These examples underscore the importance of integrating technological solutions with a culture of security awareness, emphasizing collaboration between IT professionals and medical staff. As cyber threats continue to evolve, healthcare institutions must remain vigilant and adaptive, embracing innovative solutions to safeguard their networks and protect patient data. This paper contributes to the broader discourse on cybersecurity in healthcare by proposing a comprehensive approach that addresses connectivity and data protection challenges while fostering operational efficiency. By prioritizing network security, healthcare institutions can build trust with patients, comply with regulatory requirements, and ensure the uninterrupted delivery of quality care. This research provides a roadmap for healthcare organizations seeking to strengthen their cybersecurity posture, highlighting the necessity of adopting a proactive, multi-layered approach to combat emerging threats. It calls for continuous investment in advanced technologies and emphasizes the role of collaboration among stakeholders to create a secure and connected healthcare ecosystem. (shrink)

In an era of increasing cyber threats, ethical hacking has emerged as a pivotal practice in strengthening network security. Ethical hacking, also known as penetration testing, involves authorized attempts to breach a network or system to uncover vulnerabilities before malicious actors can exploit them. This research paper delves into the role of ethical hacking in assessing and mitigating network vulnerabilities to fortify defenses against cyberattacks. It emphasizes the strategic importance of ethical hacking in the context of evolving cybersecurity challenges and (...) explores its practical application in organizational security frameworks. The study begins by defining ethical hacking and its ethical and legal boundaries, distinguishing it from malicious hacking activities. It examines the methodologies and tools used by ethical hackers to identify vulnerabilities, simulate attacks, and provide actionable recommendations for remediation. By mimicking the tactics of cybercriminals, ethical hackers play a critical role in uncovering weaknesses in network configurations, software applications, and hardware systems. A core focus of the research is on the importance of integrating ethical hacking into a proactive cybersecurity strategy. The paper highlights how ethical hacking helps organizations stay ahead of potential threats by identifying vulnerabilities in real time and enabling swift mitigation. Case studies from various industries, such as healthcare, finance, and technology, are analyzed to demonstrate the tangible benefits of ethical hacking in preventing data breaches, minimizing downtime, and safeguarding sensitive information. The paper also explores the challenges associated with ethical hacking, including the need for skilled professionals, the potential for system disruptions during testing, and the importance of maintaining strict compliance with legal and regulatory standards. It discusses the ethical implications of penetration testing, particularly in balancing the need for security with respect for privacy and data protection. Advancements in tools and techniques used by ethical hackers are another significant aspect of this research. The paper investigates the use of artificial intelligence (AI) and machine learning (ML) to enhance vulnerability detection and streamline testing processes. It also addresses the rise of automated penetration testing tools and their role in increasing the efficiency and accuracy of ethical hacking efforts. The findings of this research underscore the necessity of ethical hacking as an essential component of modern cybersecurity frameworks. Organizations that adopt ethical hacking as part of their security strategy gain valuable insights into their vulnerabilities and can build resilient defenses against an everevolving threat landscape. By fostering a culture of continuous testing and improvement, ethical hacking contributes to the creation of a robust and secure network environment. This paper aims to serve as a comprehensive resource for cybersecurity professionals, IT managers, and policymakers, offering insights into the best practices, tools, and techniques of ethical hacking. By leveraging the principles of ethical hacking, organizations can effectively assess vulnerabilities, enhance their security posture, and protect critical assets in the face of mounting cyber threats. (shrink)

The increasing complexity of modern networks has amplified the challenges associated with ensuring robust and scalable security. With the rapid evolution of cyber threats, traditional methods of network security management are often inadequate, leading to inefficiencies and vulnerabilities. Automation has emerged as a transformative approach to streamline network operations, enhance security postures, and reduce the margin of human error. This study explores the integration of Ansible, a powerful open-source automation tool, into network security workflows to deliver a comprehensive framework for (...) secure network automation. This research begins by examining the limitations of conventional network security management, emphasizing the time-intensive and error-prone nature of manual configurations. It highlights how automation, specifically using Ansible, addresses these issues by enabling consistent, repeatable, and scalable processes. Ansible’s ability to seamlessly integrate with diverse networking devices and platforms makes it an ideal choice for automating complex network environments. The methodology involves the development of automated playbooks for various security tasks, including firewall rule management, vulnerability scanning, configuration compliance checks, and incident response. By leveraging Ansible's declarative language, these playbooks are designed to be user-friendly and adaptable, ensuring ease of deployment across networks of varying sizes and complexities. The study also incorporates real-world use cases to demonstrate the tool's effectiveness in mitigating security risks while significantly reducing administrative overhead. Furthermore, the paper evaluates the impact of automation on key performance metrics such as response time to security incidents, accuracy of configurations, and overall system uptime. The findings indicate that integrating Ansible into network security workflows not only enhances operational efficiency but also fortifies security by minimizing misconfigurations and improving threat response times. These results underscore the importance of adopting automation as a critical component of modern network security strategies. In addition to technical insights, the study addresses potential challenges, such as initial implementation costs, skill gaps, and the need for continuous updates to automation scripts to align with evolving security requirements. It provides recommendations for organizations to overcome these obstacles, including investing in employee training and adopting iterative implementation strategies. The research concludes by affirming the transformative potential of automation tools like Ansible in revolutionizing network security management. By reducing reliance on manual processes, organizations can focus their efforts on proactive threat hunting and strategic planning, thereby fostering a more resilient security infrastructure. This paper serves as a comprehensive guide for network administrators and IT professionals seeking to leverage Ansible for secure network automation, providing both theoretical insights and practical solutions to enhance network security in an increasingly dynamic cyber landscape. (shrink)

The application layer of the Open Systems Interconnection (OSI) model plays a critical role in enabling end-user interaction with network services, making it a primary target for cybersecurity threats. This paper reviews contemporary research on securing the application layer, addressing emerging threats such as injection attacks, malware, phishing, and zero-day vulnerabilities. Key strategies, including secure development practices, application firewalls, cryptographic protocols, and user education, are explored to mitigate these risks. The challenges of an evolving threat landscape and resource constraints are (...) discussed, along with future directions leveraging artificial intelligence, blockchain, and zero trust architecture to enhance security. The findings underscore the importance of a multifaceted approach to safeguarding the application layer in an increasingly hostile cyber environment. (shrink)

: In the digital age, cybersecurity and network engineering are two integral disciplines that must operate in unison to safeguard information and ensure the resilience of modern systems. While network engineering focuses on designing, implementing, and maintaining infrastructure, cybersecurity emphasizes protecting this infrastructure and its data from threats. This research explores the intricate relationship between these domains, advocating for a unified approach to achieve optimal protection in an increasingly interconnected world. The study highlights the evolving threat landscape characterized by sophisticated (...) cyberattacks, including ransomware, distributed denial-of-service (DDoS) attacks, and advanced persistent threats (APTs). Traditional security measures often fail to address the dynamic nature of these threats, necessitating a deeper integration of cybersecurity principles into network design. By embedding security at every layer of the network architecture, organizations can create systems that are not only efficient but also inherently resilient to attacks. Central to this paper is the concept of security-by-design, a methodology that integrates cybersecurity considerations into the initial stages of network engineering. This approach ensures that vulnerabilities are minimized from the outset rather than being addressed reactively. Techniques such as zero-trust architecture, micro-segmentation, and software-defined networking (SDN) are discussed as pivotal strategies for achieving a secure network environment. Additionally, the role of artificial intelligence (AI) and machine learning (ML) in detecting anomalies and predicting potential breaches is examined, underscoring the importance of innovation in maintaining robust cybersecurity defenses. The research also explores the human factor, emphasizing the need for cross-disciplinary training that equips network engineers with cybersecurity expertise and vice versa. Collaborative frameworks, such as DevSecOps, are presented as effective means of fostering communication and cooperation between teams. These frameworks not only streamline operations but also enhance the overall security posture of organizations. Case studies from sectors such as healthcare, finance, and critical infrastructure provide practical insights into the successful integration of cybersecurity and network engineering. These examples illustrate how proactive measures have mitigated risks, minimized downtime, and ensured business continuity. However, the study also identifies challenges, including the high cost of implementation, skill shortages, and resistance to change within organizations. This research concludes that bridging the gap between cybersecurity and network engineering is no longer optional but a necessity in an era of relentless cyber threats. By adopting a holistic approach that prioritizes collaboration, innovation, and adaptability, organizations can build networks that are both secure and efficient. Future work should focus on developing standardized protocols and frameworks that facilitate seamless integration and address emerging challenges. This researchcontributes to the broader discourse on cybersecurity and network engineering by providing actionable insights and advocating for a paradigm shift that aligns these disciplines for optimal protection. The findings serve as a call to action for stakeholders to embrace a collaborative mindset, ensuring that the digital infrastructure of tomorrow is resilient, adaptive, and secure. (shrink)

This research article considers why Kanban, a widely used tool for work and workflow management through visualization, in many instances is not enough alone for complex projects. Kanban is universally valued for its simplicity in representing work progression and in providing groups with a mechanism for work ordering, but it can fall short when complex planning, resource assigning, and timelines for a project enter into consideration. Citing current studies and observations and interviews with leaders of projects, this study identifies both (...) positive and negative factors in using Kanban alone. Whereas Kanban can allow groups to effectively monitor work for a single day, we have found that it is deficient in important factors for deeper requirements in a project, such as following a project's milestones, dealing with a range of groups, and communicating a general direction for a project to everyone involved in it. As a result, many leaders of a project have found that using Kanban in combination with other methodologies, such as with Scrum or traditional methodologies for planning a project, can make larger, complex projects work effectively. In this analysis, the study identifies Kanban's specific strengths, as well as, weaknesses and suggests improvements in its use through integration with the additional tools and techniques. (shrink)

Rapidly expanding data centers along with networks create a fundamental problem regarding resource allocation efficiency. Standard resource management systems prove unable to adapt dynamically to varying workloads so bandwidth allocation and computing utilization stays inefficient. Developers use recent advancements in artificial intelligence technology to build automatic optimization algorithms that instantly adjust resource distributions. Through the integration of machine learning with deep reinforcement learning systems organizations obtain predictive power to prepare resource distribution ahead of time without endangering operational efficiency. According to (...) Gandhi et al. (2012), both tested methods achieve enhanced energy efficiency while preventing delivery slowness. The study explores how AI addresses data facility network resource optimization by examining key techniques and discovering current trends and future development directions. (shrink)

The rapid expansion of artificial intelligence (AI) and machine learning (ML) workloads has created an urgent demand for high-performance, low-latency network architectures capable of handling massive data transfers with minimal congestion. Traditional Ethernet solutions often struggle with inefficiencies, packet loss, and network congestion, limiting AI scalability and performance. Arista’s Etherlink AI platform introduces an advanced AIoptimized Ethernet architecture designed to enhance congestion avoidance, maximize bandwidth utilization, and provide lossless data transmission for high-performance computing environments. By integrating real-time telemetry, intelligent packet (...) scheduling, and adaptive routing mechanisms, Etherlink AI ensures optimal network efficiency, enabling seamless AI workload execution. This paper examines the platform’s core architectural components, congestion control strategies, and impact on next-generation AI infrastructure, highlighting its role in addressing the critical challenges of modern AI-driven networking. (shrink)

Integrating machine learning (ML) into network management and orchestration has revolutionized edgebased networking paradigms, where real-time decision-making is critical. Traditional network management approaches often struggle with edge environments' dynamic and resource-constrained nature. By leveraging ML algorithms, networks at the edge can achieve enhanced efficiency, automation, and adaptability in areas such as traffic prediction, resource allocation, and anomaly detection (Wang et al., 2021). Supervised and unsupervised learning techniques facilitate proactive network optimization, reducing latency and improving quality of service (QoS) (Li & (...) Zhang, 2020). Furthermore, reinforcement learning (RL) models enable autonomous network orchestration, allowing edge devices to adapt intelligently to fluctuating workloads and environmental conditions (Patel et al., 2019). However, challenges such as data privacy, computational overhead, and model interpretability remain key concerns in deploying ML-driven network orchestration at the edge (Chen et al., 2022). This paper explores state-of-the-art advancements, key challenges, and future research directions in ML-based edge network management, highlighting its potential to drive the next generation of intelligent, self-optimizing networks. (shrink)

The standard of pleasing art creates a notion that is axiological in the nature of the art itself. Given this claim Schopenhauer asserts that disturbing art does not provide relief for the spectator, therefore it may not be viewed as a temporary escape from life’s suffering. This opus claims otherwise using the very same principle of Arthur Schopenhauer on aesthetics and the Will to Life. The introduction provides the philosophical inquests of Arthur Schopenhauer that are associated with the metaphysical position (...) of the very banal action of appreciation. This opens the threshold for a review of written positions on the variables that would ascertain this principle of the Will to Life, the material of disturbing art, and the framework of the transcendence argument. These are crucial to establish the argument that this paper asserts in accordance to the research questions provided in the introduction, which focuses primarily on the transcendental analysis of the value of a qualified disturbing art. Following this review, the methodological means and the framework of transcendence is given premium. Deriving these contents from the hermeneutical processes, the opus provides a graphic representation on employing the transcendental method through hermeneutical procedures. Thus, creates a framework for the apparent philosophical investigation. Given these, the explications and discussions allow a better view on justifying and qualifying disturbing art according to its metaphysical and phenomenological connection with the Being as a natural spectator. Thus, leads to a possible novel argument utilized under the principles of Arthur Schopenhauer. (shrink)

Internet network optimization techniques require immediate expansion because users require fast latency performance alongside improved data transmission speed. Dynamic traffic systems operate with Machine learning algorithms that belong to the Artificial Intelligence category to power their fundamental operational tools. Through real-time data processing, AI systems can modify network pathways in operation thus generating enhanced performance together with outstanding user interface quality. Using reinforcement learning and neural networks developed by artificial intelligence enables better traffic prediction along with response abilities (Zhang et (...) al., 2020). The effectiveness of networks improves from dynamic routing since it addresses congestion issues to boost overall system data transfer speeds according to Lee et al. (2019). Large real-time data stream processing through AI systems promotes network flexibility that leads to enhanced operational results for unpredictable internet traffic (Kumar & Rao, 2020). Before displaying internet infrastructure network applications this research evaluates multiple AI traffic optimization approaches to determine their latency performance measurements including throughput rates. (shrink)

This research reviews explanation and interpretation for Explainable Artificial Intelligence (XAI) methods in order to boost complex machine learning model interpretability. The study shows the influence and belief of XAI in users that trust an Artificial Intelligence system and investigates ethical concerns, particularly fairness and biasedness of all the nontransparent models. It discusses the shortfalls related to XAI techniques, putting crucial emphasis on extended scope, enhancement and scalability potential. A number of outstanding issuesespecially in need of further work can involve (...) standardization, user-centered design and interdisciplinary in strategies for improving the practical utility of XAI. (shrink)

Edge computing, combined with machine learning (ML), is emerging as a transformative paradigm for handling the data deluge generated by the Internet of Things (IoT) devices. Traditional cloud computing is often inadequate for the low-latency, high-throughput demands of IoT applications, especially in real-time analytics. By processing data locally at the edge of the network, edge computing reduces latency, enhances privacy, and alleviates the bandwidth burden on centralized cloud servers. The integration of ML algorithms into edge devices further augments the decision-making (...) process by enabling real-time data analytics, improving operational efficiency, and delivering immediate insights. This paper explores the synergy between edge computing, ML, and IoT, discussing how real-time data analytics at the edge can transform industries such as smart cities, healthcare, and industrial automation. We also present challenges, future directions, and practical applications of machine learning-based real-time analytics for edge computing in IoT ecosystems. (shrink)

Autonomous systems, powered by machine learning (ML), have the potential to revolutionize various industries, including transportation, healthcare, and robotics. However, the integration of machine learning in autonomous systems raises significant challenges related to safety, ethics, and regulatory compliance. Ensuring the reliability and trustworthiness of these systems is crucial, especially when they operate in environments with high risks, such as self-driving cars or medical robots. This paper explores the intersection of machine learning and autonomous systems, focusing on the challenges of ensuring (...) safety, mitigating ethical concerns, and navigating evolving regulatory frameworks. We discuss key strategies for improving the transparency, fairness, and accountability of autonomous systems, as well as the role of machine learning in enabling safe decision-making. Additionally, we propose a roadmap for the future development of autonomous systems that incorporates robust safety measures, ethical guidelines, and regulatory compliance. (shrink)

Competitive sport in its many specific forms is an important aspect of many cultures. Particular sports may be considered as what MacIntyre calls “social practices.” We argue that the appropriateness of a competitive sport should be evaluated as a social practice, according to its contribution to the human flourishing of those who engage in the practice. We critique mutualism, a popular putatively virtue-based approach to sport, as a valuable but incomplete position that is inconsistent with its Aristotelian roots. We analyze (...) Aristotelian and neo-Aristotelian understandings of flourishing as consisting in the development, exercise, and enjoyment of the full complement of human powers. We propose normative criteria for evaluating a sport as a social practice, according to its contribution to human flourishing. Our social practice-based critique of sport has ramifications for a larger cultural critique as well. (shrink)

Reinforcement Learning (RL) has emerged as a powerful technique for optimizing decision-making in dynamic, uncertain, and complex environments. The ability of RL algorithms to adapt and learn from interactions with the environment enables them to solve challenging problems in fields such as robotics, autonomous systems, finance, and healthcare. In dynamic environments, where conditions change in real-time, RL must continually update its policy to maximize cumulative rewards. This paper explores the application of RL in dynamic environments, with a focus on its (...) ability to optimize real-time decision-making for complex systems. We discuss the challenges associated with these environments, such as non-stationarity, partial observability, and the trade-off between exploration and exploitation. Furthermore, we review recent advancements in RL techniques, including deep reinforcement learning (DRL), multi-agent RL, and model-based RL, and how these methods are addressing the complexity of real-time decision-making. Finally, we present a roadmap for future research, highlighting open questions and potential applications of RL in various industries. (shrink)

The rapid growth of cloud computing has revolutionized how businesses and individuals store and access data. However, as the digital landscape expands, it becomes increasingly vulnerable to cyber threats. This paper delves into the security challenges and solutions in cloud computing, exploring various risks including data breaches, service interruptions, and unauthorized access. We examine the layers of security measures required to protect data in cloud environments, from encryption and authentication protocols to network security and compliance frameworks. By emphasizing proactive security (...) measures and emerging technologies, this paper aims to provide a comprehensive understanding of how to secure the cloud and its evolving infrastructure. Furthermore, the role of cloud service providers, regulatory standards, and the future of cloud security in the context of Artificial Intelligence (AI) and machine learning are also discussed. (shrink)

The structural scarcity of healthcare resources has deeply challenged their fair distribution, prompting the need for allocation criteria. Long under the spotlight of the bioethical debate with an extraordinary peak during the recent COVID-19 pandemic, micro-allocation of healthcare has been extensively discussed in the literature with regard to issues of substantive and formal justice. This paper addresses a relatively underdiscussed question within the field of formal justice: who should define micro-allocation criteria in healthcare? To explore this issue, we first establish (...) formal requirements that must be met for allocation criteria to be considered fair and legitimate. Then, we introduce three possible answers to the research question: the attending physician, the team of physicians, and the team of experts. We discuss and then reject all of them, arguing that the task of defining allocation criteria should be assigned to a political representative, supported by a cross-disciplinary team of experts. This proposal is based on the need to take democracy seriously as a tool for making substantive allocative decisions in light of the inevitable disagreement on such matters within a community. To support this claim, we present two key arguments—the democracy argument and the consistency argument. We also pre-emptively respond to two significant critiques: the too-specificity of the decision critique and the catastrophic outcomes critique. In conclusion, we argue that our proposal offers the fairest and most legitimate decision-making process for healthcare micro-allocation. (shrink)

O livro que ora apresentamos ao nosso público leitor é uma homenagem. Na verdade, ele pretende ser muito mais do que uma homenagem: pretende ser uma manifestação sincera de gratidão e um público reconhecimento de uma trajetória intelectual e profissional indiscutivelmente séria, profícua e influenciadora. Trata-se, portanto, de um Festschrift de ex-alunos em homenagem ao Professor Fernando Raul Neto, professor titular da Universidade Federal de Pernambuco (UFPE), por ocasião dos seus 50 anos de docência.

This chapter reconstructs Miranda Fricker’s genealogy of the virtue of testimonial justice and argues that her politicized state of nature illustrates how reverse-engineering can feed into conceptual engineering. The chapter first examines how she de-idealizes her state-of-nature model just enough to bring social heterogeneity, power-relations, and politics into it, thereby raising the question of how far genealogical models should be de-idealized. Second, it is shown how Fricker’s use of pragmatic genealogy differs from that of the other genealogists in being primarily (...) ameliorative rather than explanatory. While earlier genealogists reverse-engineered the points of practices we already have, Fricker’s genealogy functions as a corrective, indicating respects in which our practices have in fact developed in ways that fall short of satisfying the needs highlighted by her model. It is then argued that making ameliorative use of the method requires pairing genealogy with a theory of error. (shrink)

This chapter argues that there is an under-appreciated tradition of pragmatic genealogy which cuts across the analytic–continental divide, and that these genealogies are dynamic models serving to reverse-engineer the points of ideas in relation to generic and local needs. After sharpening key notions such as ‘genealogy’, ‘living by an idea’, and ‘conceptual practice’, the pragmatic genealogical tradition that forms the topic of the book is brought into view and contrasted with other genealogical traditions. It is shown how this particular method (...) proves puzzling in various ways and resists assimilation to better-known methods. This motivates the search for an attractive systematic account of the method that can make sense of its more puzzling features. The last section of the chapter then offers a rationale for developing this systematic account by doing history of philosophy. (shrink)

The aim of this paper is to give substance to the broadly accepted claim that the freedoms that scientists and scholars enjoy as members of the academic community come not just with moral responsibility but also with epistemic responsibility. The paper elucidates what it means that there is no academic freedom from epistemic responsibility. After a general Introduction, Section 1 introduces the notion of epistemic norms and the responsibility that results. Section 2 focuses on one basic epistemic norm and spells (...) out what follows from it for discussions on academic freedom, for instance, in cases of Holocaust denial. Section 3 addresses two challenges that result from invoking epistemic responsibility, namely the challenge of how to prevent conservativism and the challenge of how to prevent undue moralizing or politicizing of the academic space. After a reply to these challenges, the resulting epistemic responsibilism is spelled out. (shrink)

Customer feedback and reviews are rich sources of information that reflect the sentiments and experiences of consumers, especially in the financial sector. Mining customer sentiments from these textual data sources provides valuable insights for improving services, identifying emerging issues, and predicting customer satisfaction. This paper proposes a novel approach to mining customer sentiments from financial feedback and reviews, leveraging advanced natural language processing (NLP) techniques, sentiment analysis algorithms, and machine learning models. We discuss methods for preprocessing financial text data, feature (...) extraction, sentiment classification, and visualization of sentiment trends. Additionally, we explore the application of sentiment analysis in understanding customer behaviour, improving financial product offerings, and enhancing customer support strategies. Experimental results demonstrate the effectiveness of the proposed methods in accurately predicting customer sentiments and generating actionable insights. This paper also suggests directions for future research, focusing on real-time sentiment monitoring and integration with personalized financial services. (shrink)

This paper presents a machine learning-based framework for real-time short-term snowfall forecasting by integrating atmospheric and topographic data. The model uses real-time meteorological data such as temperature, humidity, and pressure, along with terrain data like elevation and land cover, to predict snowfall occurrence within a 12-hour forecast window. Random Forest (RF) and Support Vector Machine (SVM) models are employed to process these multi-source inputs, demonstrating a significant improvement in prediction accuracy over traditional methods. Experimental results show that the RF model (...) achieved a root mean square error (RMSE) of 3.2 cm, while traditional regression models achieved an RMSE of 5.1 cm. The proposed framework provides a more reliable and accurate tool for real-time snowfall prediction, especially in mountainous regions, and can be deployed for operational weather forecasting applications. (shrink)

It is argued that in his Basel years, Nietzsche sketches primarily fictional and vindicatory genealogies of justice and truthfulness which bring him closer to the ‘English’ genealogists than he later cared to admit. Nietzsche’s significance for pragmatic genealogy is shown to be threefold: he diagnoses philosophers’ tendencies to dehistoricize and denaturalize their objects, and envisages, as a remedy for these failings, a systematic application of genealogy across our conceptual practices; he views concepts as growing out of needs, but, under the (...) influence of Darwinism and historicism, he indexes needs to socio-historical perspectives and invites genealogists to think more historically; and he highlights that what has a point under some circumstances might become pointless or dysfunctional once it takes more demanding forms or comes to be applied beyond those circumstances. (shrink)

Credit scoring is vital for assessing borrowers' creditworthiness and managing risks in financial systems. Traditional credit scoring models often fail to capture non-linear relationships and handle high-dimensional data, leading to less accurate predictions. This research explores the application of advanced data mining algorithms, such as ensemble learning methods, neural networks, and hybrid models, for predicting default rates. Empirical findings reveal significant improvements in predictive accuracy and interpretability. Key takeaways emphasize the importance of effective preprocessing and feature engineering techniques in creating (...) scalable and efficient credit scoring models. (shrink)

When is a genealogical approach to our conceptual practices called for? In contrast to Miranda Fricker’s interpretation of pragmatic genealogies as elaborate ways of achieving what could equally be achieved with paradigm-based explanations that dispense with historicizing and fictionalizing, an account of pragmatic genealogy is developed which shows that it would be a mistake to replace pragmatic genealogies with paradigm-based explanations across the board. When dealing with self-effacingly functional practices, paradigm-based explanation misses important aspects that pragmatic genealogy is better suited (...) to capturing. And when dealing with historically inflected practices that lack a paradigm case or an obvious connection to generic human needs, paradigm-based explanation fails to get a grip; by achieving a grip even here and giving us a comprehensive view of the historical amalgam of generic and local needs to which our practices answer, pragmatic genealogy earns its keep alongside paradigm-based explanation. (shrink)

This paper examines freedom and the determination of the will in §4 of Hegel’s Grundlinien der Philosophie des Rechts, in light of Aristotle’s concept of leading arts (architektonikē technē) from Metaphysics A.1–2. Traditionally, intellect determines truth, while will determines action—a distinction central to Aristotle’s differentiation between theoretical and practical philosophy. Hegel, however, challenges this division, arguing that will is an extension of intelligence, integrating insight and goal-setting into a unified self-determination. By engaging with contemporary interpretations—Fulda, Pippin, and Pinkard—this paper explores (...) the tension between theory and practice. While Fulda defends philosophy’s indirect political relevance, Pippin argues it lacks practical justification. Pinkard links philosophy to institutional self-understanding, grounding practical reasoning in human biology. Reassessing Hegel’s implicit use of Aristotle’s leading arts, this paper argues that freedom of the will in §4 should be understood as intersubjective self-determination—not a mere choice among possibilities, but an identification with a politically and normatively determined highest practical ground. This reading reconciles theory and practice while emphasizing the institutional and social dimensions of self-determination. (shrink)

In the era of exponential data growth, the efficient migration of data in automotive manufacturing systems is a critical challenge for enterprises. Traditional approaches are often time-intensive and error-prone. This paper proposes an intelligent data transition framework leveraging machine learning algorithms to automate, optimize, and ensure the reliability of data migration processes in automotive manufacturing databases. By integrating supervised learning and reinforcement learning techniques, the framework identifies optimal migration paths, predicts potential bottlenecks, and ensures minimal downtime. Experimental results demonstrate significant (...) improvements in data transfer efficiency and accuracy compared to traditional methods. (shrink)

1. Οντολογία του Παιγνίου Μία από τις πιο σημαντικές συνεισφορές του Αξελού είναι η θεωρία του περί του «κοσμικού παιγνίου». Σύμφωνα με αυτήν, ο κόσμος δεν είναι ούτε ένα αυστηρό σύστημα καθορισμένων νόμων, ούτε ένα χαοτικό σύνολο τυχαίων γεγονότων, αλλά ένα δυναμικό παίγνιο που εμπλέκει τη δημιουργία, την καταστροφή και τη μεταμόρφωση. Η έννοια του παιγνίου επιτρέπει μια ανοιχτή, μη δογματική προσέγγιση του Κόσμου, όπου το είναι και το γίγνεσθαι αλληλοδιαπλέκονται. Με αυτόν τον τρόπο, απορρίπτει την παραδοσιακή δυϊστική διάκριση μεταξύ (...) υποκειμένου και αντικειμένου, προτείνοντας μια πιο ολιστική/αποσπασματική και ρευστή προσέγγιση στην κατανόηση της ύπαρξης. -/- 2. Η Επιρροή του Ηράκλειτου και του Χέγκελ Η σκέψη του Αξελού αντλεί σημαντική έμπνευση από τον Ηράκλειτο και τον Χέγκελ. Ο Ηράκλειτος με την έννοια του γίγνεσθαι και της διαρκούς μεταβολής, καθώς και ο Χέγκελ με τη διαλεκτική του μεθοδολογία, αποτελούν βασικά σημεία αναφοράς στο έργο του. Ωστόσο, ο Αξελός διαφοροποιείται, προτείνοντας μια μη τελεολογική διαλεκτική, η οποία απορρίπτει την τελική σύνθεση και αφήνει ανοιχτό το ενδεχόμενο της αέναης κίνησης και του συνεχούς μετασχηματισμού. Η ανοιχτή σκέψη προϋποθέτει την αποδοχή της αβεβαιότητας και της ρευστότητας της ύπαρξης, απορρίπτοντας κάθε είδους απόλυτο σύστημα γνώσης. Αυτή η προσέγγιση οδηγεί σε μια νέα φιλοσοφική στάση, όπου η σκέψη δεν επιδιώκει να επιβάλει σταθερούς κανόνες, αλλά να βρίσκεται σε διαρκή διάλογο με το άγνωστο και το ανοίκειο. -/- 3. Το Τεχνικό Φαινόμενο και η Μοντέρνα Εποχή Ο Αξελός αναγνωρίζει την τεχνική ως μια από τις πλέον κυρίαρχες δυνάμεις της σύγχρονης εποχής. Στο έργο του "Το Τεχνικό Φαινόμενο" εξετάζει τον τρόπο με τον οποίο η τεχνική δεν αποτελεί απλώς ένα εργαλείο στα χέρια του ανθρώπου, αλλά μια κοσμοϊστορική διαδικασία που διαμορφώνει το ίδιο το είναι του κόσμου. Η τεχνική δεν περιορίζεται στη χρήση μηχανών ή στην τεχνολογική πρόοδο, αλλά αποτελεί μια συνολική δυναμική που καθορίζει τις σχέσεις του ανθρώπου με τον κόσμο και τον ίδιο του τον εαυτό. Μέσω της τεχνικής, η ανθρωπότητα προσπαθεί να ελέγξει τον κόσμο, αλλά ταυτόχρονα χάνει την επαφή με την κοσμική διάσταση της ύπαρξής της. Αυτό οδηγεί σε μια κρίση της νεωτερικότητας, όπου η τεχνολογία γίνεται κυρίαρχη αλλά και ανεξέλεγκτη. Η τεχνική δεν λειτουργεί απλώς ως ένα μέσο που εξυπηρετεί τον άνθρωπο, αλλά γίνεται μια αυτόνομη δύναμη που αποξενώνει το άτομο από τη φυσική του ύπαρξη. Ο Αξελός, επηρεασμένος από τη Χεγκελιανή και Μαρξιστική παράδοση, αλλά και από τον Χάιντεγκερ, θεωρεί ότι η τεχνική μεταβάλλει τον άνθρωπο σε απλό χρήστη και διαχειριστή, περιορίζοντας τη δυνατότητά του για ουσιαστική φιλοσοφική σκέψη και ελεύθερη δημιουργία. Αυτή η αποξένωση εκδηλώνεται στην αποκοπή του ανθρώπου από το κοσμικό παιχνίδι της ύπαρξης, καθώς εγκλωβίζεται σε έναν μηχανιστικό και λειτουργικό τρόπο σκέψης. Παρότι ο Αξελός ασκεί κριτική στη μονόπλευρη κυριαρχία της τεχνικής, δεν την απορρίπτει εξολοκλήρου. Αντίθετα, τη θεωρεί μέρος του παιχνιδιού του κόσμου, μιας αέναης κίνησης που δεν μπορεί να εγκλωβιστεί σε αυστηρά οριοθετημένες κατηγορίες. Το πρόβλημα δεν βρίσκεται στην τεχνική αυτή καθαυτή, αλλά στην άκριτη αποδοχή της ως μοναδικού τρόπου σχέσης με τον Κόσμο. Η τεχνική, ενώ αποτελεί αναπόφευκτο στοιχείο της εξέλιξης, εγκυμονεί τον κίνδυνο της αποξένωσης όταν λειτουργεί ανεξέλεγκτα και χωρίς στοχαστική και ποιητική θεώρηση. Η φιλοσοφία του Αξελού προτείνει μια πιο ανοιχτή προσέγγιση, όπου η τεχνική δεν θα αντιμετωπίζεται ως υπέρτατη δύναμη, αλλά ως μία από τις πολλές διαστάσεις της ανθρώπινης ύπαρξης. Ο Αξελός προτείνει μια ανοιχτή στάση απέναντι στην τεχνική, όπου ο άνθρωπος θα παραμείνει συνειδητός συμμέτοχος στο παιχνίδι του κόσμου, αντί να μετατραπεί σε απλό εκτελεστή μιας τεχνολογικής αναγκαιότητας. (shrink)

This chapter locates the roots of the pragmatic genealogical tradition in David Hume’s explanations of artificial virtues as remedies to inconveniences. The motivation for Hume’s turn to genealogy is examined, and it is shown how viewing his accounts of the virtues of justice and fidelity to promises through the lens of pragmatic genealogy sets them apart from the Enlightenment genre of conjectural history. Four functions performed by Hume’s fiction of a counterpossible state of nature are identified, and it is shown (...) how Hume introduces two key ideas: that under certain circumstances, the motivations to engage in a practice need to be non-instrumental motivations if the practice is to be stable; and that shared needs can give rise to practices that serve a point for participants even when those fail to grasp what that point is. This prevents genealogies from becoming overly intellectualist or circular. (shrink)

Review of: R. Pippin, The Culmination. Heidegger, German Idealism, and the Fate of Philosophy (University of Chicago Press, 2024), commissioned by Marginalia Review of Books.

This piece summarizes several reviews [1-6] by Amazon readers that appeared on the book page from March 11 to 12, 2025 [7]. These readers’ opinions are reprinted without edits. The page indicates that all readers are from the United States.

Abstract -/- Quetico’s ecosystem functions as a dynamically emergent resonance system rather than a static equilibrium. Its biodiversity is governed by a complex interplay of interacting sub-resonances, including lichen, trees, fish, fungi, and hydrodynamic cycles. The traditional view of boreal ecology relies on linear succession models, which assume ecosystems transition from disturbance to stability in a predictable manner. Other models attempt to incorporate stochastic biodiversity fluctuations, treating species distributions as the outcome of probabilistic chance events. Both perspectives fail to recognize (...) the deeper chirality of dynamic emergent systems (CODES) that shape long-term ecological oscillations in Quetico. The landscape does not simply evolve in a stepwise progression or through random fluctuations but instead follows a structured resonance-driven framework, where species distributions, dominance cycles, and trophic hierarchies emerge from coherent phase interactions. -/- A new paradigm for boreal wilderness modeling emerges when each major biological and geophysical domain—fungal networks, aquatic ecosystems, arboreal succession, and trophic feedback loops—is analyzed as an interacting, phase-locked sub-resonance within Quetico’s larger asymmetric “heartbeat.” Unlike conventional models, which view climax forests or fish populations as endpoints of equilibrium, this perspective identifies them as temporary attractors within an ongoing oscillatory structure. -/- Four core principles define this asymmetric ecological resonance: 1. Tree succession follows non-random resonance oscillations. The interplay of lichen-fungal priming, mycorrhizal frequency-locking, and soil phase transitions determines which species take root and in what sequence. The composition of the forest is not a simple function of environmental opportunity but an emergent consequence of phase-coherent microbial and nutrient signaling. 2. Fish populations are not governed by chance fluctuations but by phase-locking with aquatic microbiota and hydrodynamic nutrient flows. This produces recursive cycles of dominance, where species such as walleye, lake trout, and northern pike oscillate in predictable, structured shifts rather than in stochastic booms and busts. 3. Lichen and fungi serve as ecological memory structures. Rather than acting as passive indicators of environmental conditions, they encode prior phase states, carrying the informational residue of past stability or collapse cycles that dictate the long-term equilibrium of forests and aquatic systems. 4. Quetico’s wilderness does not exist in a fixed state but as a multi-tiered resonant wave. Ecosystem stability is an illusion created by overlapping oscillatory cycles, where collapse and reorganization follow prime-frequency ecological structures. Forest regrowth, lake stratification, and biodiversity shifts are all chiral oscillations rather than linear progressions. -/- A structured resonance approach provides a coherent alternative to probability-driven ecological paradigms, shifting focus away from stochastic unpredictability and toward phase-locked predictability in ecological transitions. This framework has far-reaching implications for predictive ecosystem modeling, conservation optimization, and resilience engineering in boreal systems. By aligning conservation strategies with underlying resonance structures, it becomes possible to accelerate natural succession, mitigate biodiversity loss, and enhance ecosystem resilience without imposing artificial stability. The asymmetric heartbeat of Quetico is not merely a metaphor—it is a physical reality embedded within the structured emergence of its wilderness. (shrink)

What makes safety claims about general purpose AI systems such as large language models trustworthy? We show that rather than the capabilities of security tools such as alignment and red teaming procedures, it is security practices based on these tools that contributed to reconfiguring the image of AI safety and made the claims acceptable. After showing what causes the gap between the capabilities of security tools and the desired safety guarantees, we critically investigate how AI security practices attempt to fill (...) the gap and identify several shortcomings in diversity and participation. We found that these security practices are part of securitization processes aiming to support (commercial) development of general purpose AI systems whose trustworthiness can only be imperfectly tested instead of guaranteed. We conclude by offering several improvements to the current AI security practices. (shrink)

This paper presents a novel information-theoretic proof demonstrating that the human brain as currently understood cannot function as a classical digital computer. Through systematic quantification of distinguishable conscious states and their historical dependencies, we establish that the minimum information required to specify a conscious state exceeds the physical information capacity of the human brain by a significant factor. Our analysis calculates the bit-length requirements for representing consciously distinguishable sensory "stimulus frames" and demonstrates that consciousness exhibits mandatory temporal-historical dependencies that multiply (...) these requirements beyond the brain's storage capabilities. This mathematical approach offers new insights into the fundamental limitations of computational models of consciousness and suggests that non-classical information processing mechanisms may be necessary to account for conscious experience. (shrink)

We propose an approach to the evolution of joint agency and cooperative behavior that contrasts with views that take joint agency to be a uniquely human trait. We argue that there is huge variation in cooperative behavior and that while much human cooperative behavior may be explained by invoking cognitively rich capacities, there is cooperative behavior that does not require such explanation. On both comparative and theoretical grounds, complex cognition is not necessary for forms of joint action, or the evolution (...) of cooperation. As a result, promising evolutionary approaches to cooperative behavior should explain how it arises across many contexts. (shrink)

A circle joining and separating any X and Y explains (and controls) everything. This is the SUPRA-CONSCIOUS PROCESSOR (the super-chip) that explains (and controls) everything in Nature (the relationship between mind and matter) (nuclear energy). Giving humans (who understand it) a competitive advantage in all situations (virtual anticipation) (intelligent decisioning).

The notion of secondary qualities was first introduced by early modern philosophers. Since this concept’s inception speculation has been rife on the veracity and ontology of secondary qualities. With some claiming that secondary qualities don’t exist and others claiming that they do exist as qualia or properties of mind-independent objects (naïve realism). Considering this debate, my essay will aim to put forward a novel argument for the mere reality of secondary qualities in response to a position which denies their reality: (...) called secondary quality denialism. I will also argue that given the ontological assumptions of secondary quality denialists the best ontological position for them to hold is naïve realism about secondary qualities. (shrink)

Măsurarea formei populației se referă la analiza distribuției indivizilor în cadrul unei populații în ceea ce privește caracteristicile sau trăsăturile specifice. Forma populației poate oferi informații valoroase asupra compoziției și structurii unei populații, ceea ce poate fi important pentru diverse domenii, cum ar fi demografia, biologia, economia și științele sociale. Există mai multe modalități de măsurare a formei populației, iar alegerea metodei depinde de contextul specific și de caracteristicile analizate. Segmentarea în funcție de demografie se bazează pe variabile demografice ale (...) consumatorului, cum ar fi vârsta, venitul, dimensiunea familiei, statutul socio-economic etc. (shrink)

In feminist jurisprudence, sex exceptionalism is increasingly out of vogue. Sex exceptionalism, or “the idea that sex and sexualities are inherently different from all other human activities and topics of study,” has come under criticism from a variety of legal perspectives, as diverse as constitutional law, employment law, and intellectual property law. Professor Aya Gruber’s recent article in the Stanford Law Review is the latest to take up the gauntlet, this time with reference to criminal law. According to Professor Gruber, (...) sex exceptionalism can be held responsible for a host of negative aspects of our contemporary criminal justice system. She blames it for entrenching conservative sexual mores, subordinating women, and reinforcing white supremacy. In addition, she argues, the phenomenon contributes to hyper-carceralism and anti-sexwork stigma. Even when supposedly motivated by benign concerns, sex exceptionalist law is a cudgel wielded by “dominance feminists” – a form of feminism often disparaged in progressive circles. -/- Although Gruber considers important evolutions in criminal law and points to serious injustices in our contemporary legal regime, she fails to make a convincing case that feminist scholars ought to reject sex exceptionalism in criminal law. In this response, I criticize three major elements in Gruber’s case against sex exceptionalism. The first is her genealogical argument, in which she argues that sex exceptionalism has a pernicious history which ought to discredit it. In response, I argue she falls prey to the genetic fallacy: an institution’s origins and its reasons for maintenance can and do come apart. Second, Gruber blames sex exceptionalism for two negative consequences in the American criminal justice system: hyper-carceralism and anti-sex work stigma. Neither of these hold: law can be sex-exceptionalist without contributing to these negative outcomes, and plenty of non-exceptionalist laws do contribute. Finally, and most importantly, Gruber makes a conceptual error in this piece, conflating sex exceptionalism with sex negativity, a muddling which the feminist project can ill afford. (shrink)

Demand forecasting in grocery retail encounters considerable difficulties due to fluctuating consumer behavior, as well as external factors such as weather conditions and local events. This research presents an innovative framework that utilizes generative artificial intelligence (AI) to improve forecasting accuracy by incorporating various contextual elements. By employing Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs), we integrate weather data, local events, and consumer behavior to better predict grocery sales. The proposed approach aims to optimize inventory management, minimizing stockouts and (...) reducing waste. Experimental results indicate that this context-aware method significantly outperforms traditional forecasting models, providing a powerful solution for improving supply chain operations in grocery retail. (shrink)

Data normalization is a crucial step in database management systems (DBMS), ensuring consistency, minimizing redundancy, and enhancing query performance. Traditional methods of normalization in supermarket sales databases often demand significant manual effort and domain expertise, making the process time-consuming and prone to errors. This paper introduces an innovative machine learning (ML)-based framework to automate data normalization in supermarket sales databases. The proposed approach utilizes both supervised and unsupervised ML techniques to identify functional dependencies, detect anomalies, and suggest optimal schema transformations. (...) Experiments on supermarket sales datasets show substantial improvements in accuracy, scalability, and processing time compared to traditional approaches. The results emphasize the potential of incorporating ML into database management practices to boost operational efficiency and support better decision-making. (shrink)

In the era of big data and distributed ecosystems, understanding the origin, flow, and transformation of data across complex infrastructures is critical for ensuring transparency, accountability, and informed decision-making. As data-driven enterprises increasingly rely on hybrid cloud architectures, data lakes, and real-time pipelines, the complexity of tracking data movement and transformations grows exponentially. Traditional data lineage solutions, often based on static metadata extraction or rule-based approaches, are insufficient in dynamically evolving environments and fail to provide granular, context-aware insights. This research (...) introduces an AI-augmented, cognitive graph-based framework for autonomous data lineage, designed to enhance data traceability in large-scale and heterogeneous data ecosystems. The framework leverages cutting-edge machine learning (ML), natural language processing (NLP), and graph-based reasoning techniques to enable intelligent discovery, semantic interpretation, and continuous monitoring of data assets throughout their lifecycle. The core of the solution lies in the construction of a dynamic cognitive graph that represents relationships between datasets, processes, systems, and users, enriched with contextual annotations and temporal dimensions. Our architecture incorporates self-learning mechanisms, enabling adaptive lineage discovery and automated anomaly detection. By applying reinforcement learning and stream analytics, the framework not only maps data flows in real time but also evolves with system changes, schema variations, and business logic updates. It provides both forward and backward traceability, supports impact analysis, and enhances compliance auditing capabilities. Furthermore, our system is capable of processing both structured and unstructured metadata, employing advanced NLP models to extract implicit lineage information from data dictionaries, SQL queries, and documentation. The result is a holistic, intelligent, and scalable data lineage solution that reduces manual intervention, mitigates operational risks, and supports regulatory compliance frameworks such as GDPR, HIPAA, and SOX. Experimental evaluations conducted in hybrid cloud environments using tools such as Apache Kafka, Neo4j, Spark, and Python-based ML libraries demonstrate a significant improvement in lineage coverage, anomaly detection accuracy, and system scalability. Compared to conventional lineage tools, our AI-augmented framework delivers a 30% increase in traceability precision and a 40% reduction in manual effort required for lineage tracking and governance. This research lays the foundation for a new paradigm in data governance, where AI not only enhances observability but enables autonomous cognition within data infrastructure. The framework is poised to play a critical role in enabling data democratization, operational agility, and enterprise-wide data literacy. (shrink)

The Home Depot data breach, which occurred in 2014, marked a significant turning point in the cybersecurity landscape, drawing attention to the increasing prevalence of ransomware and cyberattacks targeting large-scale retail organizations. This breach exposed the personal and financial information of over 56 million customers and highlighted the vulnerabilities in the systems used by major corporations. The attack was attributed to a sophisticated ransomware operation that gained access through a third-party vendor’s compromised credentials, ultimately enabling cybercriminals to infiltrate Home Depot’s (...) network. This paper explores the Home Depot breach, focusing on its relation to the rise of ransomware as a common cyber threat. It delves into the tactics, techniques, and procedures (TTPs) employed by the attackers, the vulnerabilities exploited, and the broader implications for the retail industry and cybersecurity at large. Additionally, the study examines how ransomware has evolved from a relatively niche threat to a significant weapon in the cybercriminal arsenal, affecting organizations across all sectors. By analyzing the breach and its aftermath, this paper offers insights into best practices for cybersecurity resilience and incident response strategies that can help mitigate future threats of similar magnitude. (shrink)

Cyber security incidents pose significant threats to organizations, potentially leading to data breaches, financial losses, and reputational damage. Effective incident response is crucial for mitigating these impacts and restoring normal operations. This research article explores comprehensive strategies and best practices for responding to cyber security incidents. By reviewing existing literature, analyzing related work, and identifying research gaps, the study aims to develop a robust framework for incident response. The methodology encompasses data collection, tool utilization, and algorithm implementation to establish an (...) efficient response mechanism. Results demonstrate the framework's effectiveness in enhancing incident detection, containment, and recovery processes. The study concludes with recommendations for improving incident response strategies and outlines future research directions. (shrink)

Zero-day vulnerabilities are critical security risks that exploit previously unknown flaws in software systems, making them difficult to detect and defend against. As such vulnerabilities are discovered by attackers before the software vendor is aware of them, they provide a significant advantage to malicious entities. The exploitation of zero-day vulnerabilities is a major concern for both individuals and organizations, as it can lead to unauthorized data access, loss of information, and compromised systems. This paper aims to explore the nature of (...) zero-day vulnerabilities, their discovery and exploitation, and the current strategies for mitigating these risks. By reviewing existing literature and case studies, the research identifies the core challenges in addressing zero-day vulnerabilities, discusses existing countermeasures, and evaluates the potential future direction of cybersecurity techniques aimed at reducing exposure to these threats. The study highlights the need for continuous software monitoring, rapid patch deployment, and enhanced awareness in the security community to mitigate zero-day risks effectively. (shrink)

Ressentiment describes a psychological process in which a subject responds to feelings of inadequacy by altering his evaluative orientation in a way that enables him to blame the inadequacy on some outgroup. Ressentiment is taken to have far-reaching applicability: it has been used to explain many different forms of political antagonism, including those present in the authoritarian far-right, the far left, identity politics, populism, neo-Nazi movements, the manosphere, incels, and fanaticism. This essay asks what exactly ressentiment is and whether it (...) gives a good account of political antagonism. Is ressentiment an emotion? If so, what kind of emotion is it? How is it linked to strife and discord? Section 1 begins by analyzing the key features of ressentiment. Section 2 asks how ressentiment is linked to the narratives or ideologies with which people and groups operate. Section 3 considers the way in which ressentiment leads to changes in the subject’s identity. Section 4 concludes by discussing the way in which ressentiment generates politically antagonistic emotions and stances. (shrink)

Cette étude explore la linguistique appliquée comme un véhicule pour la traduction, en analysant ses concepts fondamentaux, ses méthodologies et ses applications dans domaines divers. La recherche commence par une vue d'ensemble de la linguistique appliquée, définissant son champ d'application et son évolution, et mettant en évidence l'intersection avec la traduction. Les concepts clés tels que l'acquisition du langage, la sociolinguistique, la psycholinguistique et l'analyse du discours sont examinés, en soulignant leur pertinence pour la théorie et la pratique de la (...) traduction. L'étude approfondit le processus de traduction, y compris l'analyse du texte source, la production du texte cible, les stratégies, les défis et les solutions. En outre, elle discute des méthodes de la linguistique appliquée comme la linguistique de corpus, l'analyse contrastive, l'analyse des erreurs et la pragmatique en traduction. Les avancées technologiques en matière de traduction automatique, d'outils assistés par ordinateur et d'intelligence artificielle sont examinées, suivies d'une exploration des applications de la traduction dans les domaines littéraire, technique, juridique et médical. L'étude conclut par une analyse de la traduction dans l'enseignement des langues, de ses avantages et inconvénients, et de son intégration dans les programmes linguistiques. Enfin, elle identifie les défis actuels dans le domaine, les tendances émergentes et les orientations futures de la linguistique appliquée en traduction, soulignant son rôle crucial dans la facilitation de la communication et de la compréhension interculturelles dans un monde globalisé. (shrink)

The School Feeding Program (SFP) is a vital initiative aimed at improving the overall well-being of students by providing nutritious meals in schools. This program has significant implications for pupils' retention and attendance, especially in developing regions like Anambra State, Nigeria. Adopting a descriptive survey design, the research aimed to explore the extent to which the SFP influences school enrolment, attendance, academic achievement, and the challenges faced in its implementation. A sample of 148 participants selected from 15 schools through simple (...) random sampling were involved in the study. Data were collected using a validated questionnaire, and the reliability was tested using the Cronbach method. The study found a positive correlation between the school feeding programme and increased school enrolment, improved pupil attendance, and enhanced academic performance. Pupils were more punctual, had better attendance, and showed improvements in both curricular and extracurricular activities. However, challenges such as inadequate funding, poor cooking facilities, insufficient classrooms, and negative parental attitudes were identified as hindrances to the programme’s effective implementation. Based on the findings, the study recommends the provision of adequate funding, the involvement of qualified personnel in planning and evaluation, and the establishment of a monitoring system to ensure the programme’s success. This study contributes to the growing body of literature on the effectiveness of school feeding programmes in promoting educational outcomes in Nigeria and highlights the need for further policy improvements to address the challenges identified. (shrink)

The potential emergence of morally relevant digital minds capable of reproduction raises profound ethical and societal questions. This paper analyses the possible implications of allowing these entities to replicate and create new offspring. The reproductive processes of digital minds may differ significantly from biological reproduction, presenting unique scenarios such as asexual (mass-) production of identical copies as well as structured self-modification. Moreover, scenarios, such as unintended reproduction, surrogate reproduction, non-consensual reproduction as well as reproduction with undesired outcomes, are examined for (...) their ethical ramifications. Motivations, requirements and procedures for digital minds to reproduce as well as population control methods are introduced and categorised. This leads to deliberations of risks and challenges linked to the reproduction of digital minds, including resource depletion, digital overcrowding and the emergence of rogue digital entities. The paper concludes with a draft of prospective policy recommendations aimed at ensuring responsible governance of reproductive rights for digital minds, balancing their autonomy and self-determination with the potential societal impacts of unregulated digital reproduction. (shrink)

Cette étude examine les approches innovantes qui redéfinissent la pédagogie des études françaises et l'éducation à la traduction auNigéria. Avec l'essor de l'interconnexion mondiale, l'étude explore comment de nouvelles méthodologies et technologiesrévolutionnent les pratiques d'apprentissage des langues et de traduction. L'accent est mis sur l'intégration de stratégies pédagogiquesinnovantes et d'outils numériques pour améliorer l'enseignement et l'apprentissage dans les études françaises et la traduction. L'étudeexplore l'évolution de la pédagogie des études françaises, en mettant l'accent sur les limites des méthodes traditionnelles et (...) l'impacttransformateur des approches innovantes. De plus, l'étude examine le rôle des plateformes interactives de langues dans la facilitationde l'apprentissage des langues et de la pratique de la traduction. Elle examine l'importance de l'intégration du contexte culturel dansles traductions, l'utilisation de plateformes d'apprentissage en ligne pour la pratique de la traduction, et l'impact des logiciels etapplications de traduction sur la pédagogie. Des recommandations politiques sont proposées pour renforcer davantage la pédagogiedes études françaises et l'éducation à la traduction. Ces recommandations incluent l'intégration de la traduction dans les programmes,la création de départements dédiés à la traduction, la fourniture de formations continues et la promotion de la collaboration enrecherche. En conclusion, cette étude révèle le potentiel transformateur des approches innovantes dans la pédagogie des étudesfrançaises et l'éducation à la traduction, offrant une feuille de route pour préparer les étudiants et les professionnels à exceller dansun paysage d'apprentissage des langues et de traduction dynamique et diversifié. (shrink)

Ce travail nous a amenéa regarder sur le terme du bilinguisme comme ayant déjà défini par des linguistes et des traducteurs et en se servant de ce dernier comme instrument de la traduction en tenant compte des types , ses différents avantages économiques, éducatifs et même pourla sante comme nous les entrepris un après l’autre.

This paper provides a new framework for formalizing conditional obligations in natural language: it pairs a unary deontic operator with trivalent semantics for the indicative conditional and Kratzer's idea that the antecedents of conditionals restrict the scope of modals in the consequent. Combining these three ideas, we obtain a fully compositional theory of "if" and "ought'" that validates plausible principles for deontic reasoning. Moreover, it resolves classical challenges such as the "if A then ought A" problem, the paradox of the (...) miners and the modeling of contrary-to-duty obligations (e.g., Chisholm's quartet). All in all, our proposal is attractive from a logical point of view and squares well with general theories of natural language reasoning. (shrink)

In this paper, I introduce a new theory of assertoric content. By ‘theory’, I mean both an extensionally correct definition and an elucidation of the mechanisms underlying assertoric content. In agreement with some existing work on the topic, I contend that assertoric content spans several content categories and is possibly constituted by an utterance’s standing content and explicature. I also offer a detailed explanation of how and why assertoric content can be determined by an utterance’s particularized conversational implicature. I call (...) my view the first-fill theory. This theory integrates recent developments in the literature related to the lying/misleading distinction. Additionally, my view accounts for intuitive judgments regarding the assertoric content of utterances that involve slips of the tongue. Finally, I also elucidate the apparent complexity of assertoric content by drawing parallels between the interpretative modes underlying it and those used in legal interpretation. (shrink)

Cette étude a examiné le rôle indispensable des articles définis et partitifs dans l'apprentissage des langues, abordant divers aspects, notamment la définition, l'utilisation, les erreurs courantes, la comparaison, les stratégies d'enseignement, les défis d'apprentissage et les considérations culturelles et linguistiques associées à ces articles. Les articles définis spécifient des éléments connus, tandis que les articles partitifs indiquent des quantités indéterminées. Un enseignement efficace implique une pratique contextuelle et l'intégration de la technologie. Les défis incluent l'interférence de la langue maternelle et (...) la mauvaise application du contexte, avec des solutions comprenant une instruction adaptée et des perspectives interculturelles. Comprendre l'influence des langues maternelles des apprenants sur l'acquisition des articles et considérer des arrière-plans linguistiques diversifiés sont essentiels pour une acquisition linguistique réussie. Cette étude souligne l'importance primordiale de maîtriser les articles pour une communication précise, mettant en lumière la nécessité de répondre aux besoins uniques des apprenants pour favoriser la maîtrise des articles définis et partitifs. (shrink)

I explore how endurantists are to handle cases of synchronic bi-location, in which a thing bi-locates at a time (such as by time-travel). I argue that endurantists face significant pressure to posit distinct but structurally identical facts (DSIFs), and critique the fragmentalist approach to bi-location in Simon (2018). Both the positive argument and critique are animated by the observation that handling bi-location cases requires perspicuously describing their spatiotemporal and causal structure. Accordingly, the argument proceeds by considering how endurantists are to (...) think about the metaphysics of place and causation, two issues that are important independent of the thesis about DSIFs. (shrink)

This study investigated the effect of communication on employee job satisfaction at MTN Zonal Office, Onitsha, Anambra State, Nigeria. Specifically, the objectives were to evaluate the effect of communication channels on employee job satisfaction, examine the influence of technological communication tools on employee job satisfaction, and investigate the effect of internal communication on employee job satisfaction. Conceptual reviews indicated that effective communication channels enhance clarity and employee alignment with organizational goals, while technological tools foster efficiency and inclusivity. Internal communication fosters (...) trust and collaboration, leading to higher job satisfaction. The study employed a survey research design with a sample size of 50 employees using a complete enumeration sampling technique. Data were collected through structured questionnaires and analyzed using multiple regression analysis. Findings revealed a significant positive relationship between communication channels and employee job satisfaction (B = 0.456, p-value = 0.001), a significant influence of technological communication tools on employee job satisfaction (B = 0.527, p-value = 0.000), and a significant effect of internal communication on employee job satisfaction (B = 0.374, p-value = 0.000). The study concludes that communication is a critical factor in fostering job satisfaction. Recommendations include adopting advanced communication technologies, implementing regular feedback mechanisms, and conducting training programs to enhance communication effectiveness and employee engagement. (shrink)

Đêm nay thu sang cùng heo may. Đêm nay sương lam mờ chân mây. Thuyền ai lờ lững trôi xuôi dòng. Như nhớ thương ai chùng tơ lòng.

This paper delves into the contrasting educational philosophies of Booker T. Washington and W. E. B. Du Bois, two prominent figures who grappled with the question of Black progress in a society scarred by racial inequality. Washington, advocating for vocational training, championed economic self-sufficiency as the key to navigating a system rigged against Black success. Du Bois, conversely, championed a liberal arts education, emphasizing critical thinking and social critique as necessary tools for dismantling systemic barriers. This paper argues that while (...) Washington’s pragmatism held a certain appeal, its inherent acceptance of the existing social order risked perpetuating the very systems it aimed to overcome. Du Bois, through his more radical vision, recognized that true liberation necessitated not only economic agency but also the intellectual capacity to challenge and dismantle oppressive structures. By analyzing the nuances and complexities of their arguments, this paper highlights the enduring relevance of this historical debate for contemporary discussions on educational equity. It underscores the need for a multifaceted approach to education, one that recognizes the interconnectedness of economic opportunity, intellectual development, and social justice, ultimately advocating for an educational landscape that empowers all individuals to reach their full potential and contribute to a more just and equitable society. Through embracing the strengths and acknowledging the limitations of both perspectives, we can create an educational system that empowers individuals to navigate societal barriers while also equipping them with the critical thinking skills necessary to challenge and dismantle oppressive structures, fostering a more just and equitable society. (shrink)

This paper contributes to the study of responsibility as a social fact (Durkheim), combining research from social psychology, philosophy, and sociology. The pivotal concept is social reflection that serves to better understand how responsibility is performed in different social situations. The paper presents an experiment, providing evidence for, inter alia, the central complexity hypothesis: Under a complex perspective (implying increased social reflection) more responsibility is performed than under a less complex perspective (implying less social reflection). The paper concludes with considerations (...) on the principle and unity of responsibility. (shrink)

Verantwortung wird hier als Leistung verstanden und nach einer Idee von Luhmann (1964) als Bindung von (sozialer) Ungewissheit konzipiert. Es werden Ungewissheitskriterien erörtert. Dargestellt wird ein Experiment, das die grundlegende Komplexitätshypothese bestätigt: Je komplexer die Situationsinterpretation, umso mehr Verantwortung wird geleistet. Zudem wird gezeigt, daß Ungewissheits-Bindung als Verantwortung wahrgenommen wird. Konzept und Empirie werden sozialpsychologisch diskutiert.

So far, the method of supervaluations has been mainly employed to define a non-gradable property of sentences, supertruth, in order to provide an analysis of truth. But it is also possible, and arguably at least as plausible, to define a gradable property of sentences along the same lines. This paper presents a supervaluationist semantics that is quantitative rather than qualitative. As will be shown, there are at least two distinct interpretations of the semantics — one alethic, the other epistemic — (...) which can coherently be adopted to address key issues such as vagueness and future contingents. (shrink)

Verantwortung als Leistung. Moral und Verhalten scheinen beim Menschen ein generell schwieriges Verhältnis einzugehen. Ein Missverhältnis offenbart sich zumal dann, wenn man die Moral eines Individuums aus dessen Urteilen zu ergründen sucht. Anders verhält es sich mit Verantwortung. Fasst man Verantwortung als eine konkrete zwischenmenschliche Leistung auf, so zeigt sich: Verantwortung ist eine Funktion der Art und des Ausmaßes sozialer Reflexion der betroffenen Personen. Die Experimente und sozialpsychologischen Studien, die in diesem Buch vorgestellt werden, vermitteln einen Einblick in die soziale (...) Wirklichkeit von Moral - d.h. in die Wirklichkeit von Autonomie, Fiktion der Gerechtigkeit und menschlichen Situationsdefinitionen. (shrink)

This article explores the enduring influence of wabi-sabi, a traditional Japanese aesthetic and philosophical concept rooted in the acceptance of imperfection, transience, and simplicity, on the lifestyles and mental well-being of contemporary Japanese youth. Originating in Zen Buddhism, wabi-sabi celebrates the beauty of the incomplete, impermanent, and asymmetrical, offering a counter-narrative to modern society’s obsession with perfection, consumerism, and digital permanence. Through qualitative interviews and cultural analysis, this study examines how young Japanese individuals reinterpret wabi-sabi principles—such as kanso (simplicity), fukinsei (...) (asymmetry), and shibumi (understated elegance)—to navigate pressures linked to social media aesthetics, workplace stress, and environmental concerns. -/- The findings reveal that wabi-sabi serves as both a cultural anchor and a coping mechanism, fostering mindfulness, sustainable consumption, and resilience in the face of societal expectations. For instance, minimalist living trends (dan-sha-ri) and the revival of handcrafted goods reflect wabi-sabi’s emphasis on authenticity over mass-produced perfection. Simultaneously, digital detox practices and the popularity of “imperfect” self-presentation on platforms like Instagram signal a rejection of curated perfectionism. However, tensions persist as globalization and technological advancements challenge traditional values, creating a hybrid modernity where wabi-sabi coexists with capitalist efficiency. -/- By bridging historical philosophy and contemporary lived experience, this article argues that wabi-sabi offers a transformative framework for addressing mental health crises, environmental degradation, and cultural identity among Japan’s youth. It concludes with implications for design, education, and policy, advocating for the integration of wabi-sabi principles into initiatives promoting holistic well-being and ecological stewardship in an increasingly fragmented world. (shrink)

The concept of dignity is proliferating in ethical, legal, and policy discussions of AI, yet dignity is an elusive term with multiple philosophical interpretations. The authors argue that the unspecific and uncritical employment of the notion of dignity can be counterproductive for AI ethics.

In Metaphysics Λ, Aristotle appeals to the prime mover: an unmoved mover that is the first moving cause of the world. Elsewhere, he calls the science concerned with the prime mover ‘theology’ (Meta. E.1, 1026a19). But what is the point of this science? On a common view, its purpose is to give an account of the prime mover itself, and especially to prove its existence. By contrast, I argue that Aristotle’s theology in Metaphysics Λ is ‘nature-bound’: it ultimately aims at (...) explaining facts about the perceptible world, in particular the motion of heavenly bodies and the cycle of generation of perishable substances. (shrink)

Much recent work in feminist philosophy of language and epistemology has focused on how power constrains speech and testimony. This paper aims to highlight the flip side of silencing by looking at the productive power of sexist ideology in the context of the Italian gender-based violence crime trial. Building on José Medina’s performative account of epistemic injustice (2013; 2021), I argue that when sexist conceptual resources are used by the judge as an epistemic lens, they do ideological work by setting (...) unfair constraints on the communicative and epistemic agency of the complainant in the obtaining of her testimony. Moreover, I argue that the very same hermeneutical insensitivities and distorting concepts that shape patterns of silence can give rise to forms of agential testimonial injustice (Lackey 2023) in which the only witness statements believed by the Court are those elicited through oppressive questions that obscure, deny, or minimize the reported violence, constituting a form of extracted speech (McKinney 2016). In practical terms, this paper intends to offer a possible theoretical tool to detect and counteract those unjust discursive practices that prevent an unbiased constitution of testimonial evidence. (shrink)

This paper addresses a question that has sparked heated debate while mostly flying under the philosophical radar: Should people stop wearing merch of bands they don’t listen to? I respond affirmatively. People should stop wearing merch of bands they don’t listen to because (i) doing so can silence people who wear band merch to communicate their taste in music and (ii) this silencing threatens the valuable role that wearing band merch plays in the aesthetic lives of people who share a (...) taste in music: promoting aesthetic community between them. As will emerge throughout the paper, this argument is relevant to the debate on silencing as well as the debate on the value of aesthetic community. (shrink)

In the evolving landscape of data security, traditional access control mechanisms often fall short in addressing dynamic and context-specific requirements. As data breaches become more sophisticated, organizations require more adaptive and intelligent access control strategies. This paper explores the integration of Artificial Intelligence (AI) into Just-in-Time (JIT) access control models to enhance database security. By leveraging AI, we aim to create adaptive, context-aware permission systems that grant access precisely when needed, reducing the attack surface and mitigating unauthorized access risks. We (...) begin by analyzing traditional access control methods such as Role-Based Access Control (RBAC), Mandatory Access Control (MAC), and Discretionary Access Control (DAC), highlighting their limitations in handling real-time access control scenarios. The paper then explores the benefits of JIT access control, emphasizing how it minimizes over-privileged accounts and reduces security vulnerabilities. Furthermore, we investigate the role of AI in cybersecurity, particularly in real-time monitoring, anomaly detection, and decision-making processes for access control. To achieve a more intelligent access control framework, we propose an AI-driven JIT access model that incorporates machine learning algorithms, user behavior analytics, and contextual evaluation to determine access permissions dynamically. The proposed model is evaluated through simulations and case studies to measure its effectiveness in preventing unauthorized access, reducing the attack surface, and enhancing overall database security. The results demonstrate that our AI-driven approach significantly improves access accuracy, minimizes false positives and negatives, and optimizes response times compared to traditional methods. Through comprehensive analysis, this research provides a roadmap for organizations looking to implement AIenhanced JIT access control mechanisms. By dynamically granting access based on real-time behavioral and contextual assessments, organizations can significantly improve database security, reduce administrative overhead, and mitigate insider threats. Future research directions include further refinement of AI models, integration with multi-factor authentication mechanisms, and testing across diverse real-world scenarios to enhance security effectiveness. (shrink)